2024-08 Applying LLMs and Agentic AI to simplify knowledge retrieval


Details
Join Arcurve's AI pragmatist Mike Morley as he returns to PyData Calgary to teach us how to apply large language models to our personal knowledge. You don't want to miss this one!
Where: Platform Calgary, East Annex
When: Wednesday August 28th at 5:30pm
AI Beyond the hype: Applying Large Language Models and Agentic AI to simplify knowledge curation and retrieval.
The personal knowledge vault is an example of leveraging the power of generative AI to augment people's abilities. The Personal Knowledge Vault is designed to help people. Help people with functional memory challenges access their knowledge by using natural human interactions to create, find and curate their knowledge.
Schedule:
5:30 - Food and Networking
6:00 - Presentation and Discussion
7:30 - Wrap up
Bio:
Mike’s focus is on enabling organizations to solve hard, real-world challenges by building teams of smart people who apply their talents to create pragmatic, reliable technology solutions to address the challenges.
Mike’s journey in the domain of applied AI began after earning a degree in Geological Engineering, leading to 25 years of experience delivering data-driven insights across various industries, including Environmental, Financial, AEC, Mining, Oil and Gas.
In 2016, Mike co-founded Menome Technologies with the goal of revolutionizing business data usage. Menome's primary focus was on demystifying complex data, consolidating fragmented information, and offering clear, actionable insights. This strategy significantly aided organizations in making informed decisions, understanding their clientele, and maintaining a competitive edge. The dataLink platform, developed by Menome, was instrumental in fostering business growth and efficiency through sophisticated insights and analytics.
After successfully exiting Menome following its acquisition by Arcurve, Mike now advises enterprises, teams and projects on effectively harnessing AI to maximize value and augment organizational performance. Mike is also frequently speaker on the subject of pragmatic, applied AI.

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2024-08 Applying LLMs and Agentic AI to simplify knowledge retrieval